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East China Normal University
- Shanghai
- linu.me
- https://yli.li
- https://liuyang.dev
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Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
《动手学大模型Dive into LLMs》系列编程实践教程
📝A simple and elegant markdown editor, available for Linux, macOS and Windows.
x-cmd: Bootstrap 1000+ command line tools in seconds.
Rime万象拼音输入方案:一个类大厂习惯的输入方案,首个全带调词库。多版可选,词库基于AI筛选和语料辅助筛选精干高效,配合全新语法模型,输入不再纠结。PRO版本支持10种双拼,7种辅助码,可扩展。支持混合编码输入,内置超级注释、快符、候选手动排序、tips、等功能扩展,大大增强使用体验,详见README和release。Q群:11033572/11631066
An open-source, cross-platform terminal for seamless workflows
Zeek is a powerful network analysis framework that is much different from the typical IDS you may know.
SQL powered operating system instrumentation, monitoring, and analytics.
Wazuh - The Open Source Security Platform. Unified XDR and SIEM protection for endpoints and cloud workloads.
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
system-design-primer 的中文翻译,原仓库 https://github.com/donnemartin/system-design-primer
强化学习中文教程(蘑菇书🍄),在线阅读地址:https://datawhalechina.github.io/easy-rl/
🌟100+ 原创 LLM / RL 原理图📚,《大模型算法》作者巨献!💥(100+ LLM/RL Algorithm Maps )
How can we build a true AI agent? Like Claude Code.
🌻 Flexible and fast ZSH plugin manager
Original Proof-of-Concepts for React2Shell CVE-2025-55182
📚 《从零开始构建智能体》——从零开始的智能体原理与实践教程
AIInfra(AI 基础设施)指AI系统从底层芯片等硬件,到上层软件栈支持AI大模型训练和推理。
AISystem 主要是指AI系统,包括AI芯片、AI编译器、AI推理和训练框架等AI全栈底层技术
STEP-GUI: The top GUI agent solution in the galaxy. Developed by the StepFun-GELab team and powered by StepFun’s cutting-edge research capabilities.
All-in-One Sandbox for AI Agents that combines Browser, Shell, File, MCP and VSCode Server in a single Docker container.
The official Python SDK for Model Context Protocol servers and clients
Ongoing research training transformer models at scale
A lightweight, powerful framework for multi-agent workflows
Manage your dotfiles across multiple diverse machines, securely.
OpenTSLM: Time-Series Language Models for Reasoning over Multivariate Medical Text- and Time-Series Data